no code implementations • 25 Feb 2024 • Ruijin Sun, Yao Wen, Nan Cheng, Wei Wan, Rong Chai, Yilong Hui
Task offloading is a potential solution to satisfy the strict requirements of computation-intensive and latency-sensitive vehicular applications due to the limited onboard computing resources.
no code implementations • 21 Jul 2023 • Yao Wen, Guopeng Zhang, Kezhi Wang, Kun Yang
To alleviate the shortage of computing power faced by clients in training deep neural networks (DNNs) using federated learning (FL), we leverage the edge computing and split learning to propose a model-splitting allowed FL (SFL) framework, with the aim to minimize the training latency without loss of test accuracy.